A methodology for reliability assessment of substations using fault tree and Monte Carlo simulation
| Autor: | Antonio V. Silva Neto, Patricia Teixeira Leite Asano, Paulo Sérgio Cugnasca, João Batista Camargo, Jair Diaz Barbosa, Jorge R. C. Almeida, Jesus F. A. Romero, Ricardo Caneloi dos Santos |
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| Rok vydání: | 2019 |
| Předmět: |
Fault tree analysis
Computer science 020209 energy Applied Mathematics 020208 electrical & electronic engineering Monte Carlo method 02 engineering and technology Reliability engineering Power (physics) Work (electrical) SUBESTAÇÕES ELÉTRICAS 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Reliability (statistics) |
| Zdroj: | Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual) Universidade de São Paulo (USP) instacron:USP |
| ISSN: | 1432-0487 0948-7921 |
| Popis: | This work presents a new methodology for reliability assessment of power substations. The proposed methodology is based on a combination of two different techniques for reliability studies, which are fault tree and Monte Carlo Simulation. Usually, these techniques are individually used for reliability evaluation purposes, but the solution here presented shows the advantages of combining both of them. Results reveal that by using a new procedure, based on these well-understood techniques, vulnerable points can be identified in power substations, thus being a useful tool for deciding on new investments allocation. Firstly, the presented methodology is evaluated by using a system analytically solved, confirming its accuracy. Secondly, the proposed methodology is compared to a conventional method for reliability studies, showing its practical applicability, since both of them show the same expected results. |
| Databáze: | OpenAIRE |
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